What the data for this category looks like
The data sources for industrial metals mainly come from public market data of major global futures exchanges and statistical documents from domestic non-ferrous metal industry associations. The data update schedule follows three tiers: spot transaction prices are updated in real time alongside trading days, inventory data is updated weekly, and production capacity and operating rate data are updated monthly. The document structure is uniformly divided into three modules: market snapshot, supply and demand data, and industry dynamics. The fields include variety code, daily transaction price, position volume, total inventory, with corresponding units of yuan per ton, lot, and metric ton respectively. A full industrial metals due diligence report typically ranges from 10 to 30 pages in length, containing multi-dimensional industry data entries.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Real-time updated spot data requires pulling the latest data source before each tool call to avoid outdated market prices cached in dialogue context. Multi-dimensional fields include indicators with different units. Multi-turn dialogue must retain the variety and unit information specified by the user to avoid repeated inquiries or unit confusion. A single due diligence report is lengthy, so the context window length must be limited to prevent the model from losing key instructions due to context overload. Monthly updated production capacity data does not require high-frequency calls; prompts must distinguish the call logic of high-frequency and low-frequency data sources to reduce invalid interface requests. Different exchanges have different pricing units, so prompts must clearly specify the unit corresponding to the data source bound to the current dialogue to ensure the output meets user expectations.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Industrial metals due diligence reports are lengthy, so sufficient multi-turn dialogue context must be retained while avoiding context overload |
toolCallMaxRetries | 2 times | Industrial metals data source interfaces occasionally have fluctuations; limited retries can improve call success rates and avoid unlimited resource occupation |
recallTopK | Top 3 entries | There are many industry data entries for industrial metals; a small number of precise recalls can improve prompt effectiveness and reduce redundant information interference |
promptTemplate | Fixed binding to the industrial metals category, clearly specify data source units and update frequency | Industrial metals have characteristics of multiple units and multiple update rhythms; pre-agreed rules in the template can reduce ambiguity in multi-turn dialogue |
chatIdPersistence | Enabled and bound to user sessions | Context association for multi-turn dialogue must be retained to ensure consistency of tool call context, which aligns with actual usage scenarios |
maxToolCallsPerRound | 3 times | Industrial metals due diligence requires calling multiple types of data sources; limiting the number of calls can avoid invalid circular calls and ensure controllable dialogue flow |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material forms, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: After passing the
chatIdparameter when calling the API, the background dialogue log does not display the corresponding session identifier, making it impossible to trace multi-turn dialogue context. Cause: ThechatIdPersistenceconfiguration is not enabled, or thechatIdparameter value bound to the session is not correctly included when calling the API, resulting in failed session association. - Phenomenon: Form nodes in the dialogue interface display raw HTML code and cannot interact normally. Cause: The rendering rules for form nodes are not specified in the prompt, or the HTML content escaping configuration of the dialogue interface is not enabled.
- Phenomenon: After a user accessing via a login-free link deletes dialogue content, the background log is also deleted synchronously. Cause: The log storage logic for login-free sessions does not distinguish between temporary sessions and permanent sessions, and the delete operation directly clears the associated log data.
How to Confirm the Configuration Is Correct
- Initiate a dialogue containing multiple rounds of tool calls, check whether the background log retains complete session identifiers and call records, and confirm that the
chatIdparameter is correctly bound to the session. - Call the tool to obtain industrial metals spot data, check whether the unit of the returned result matches the pricing rules of the specified data source, and confirm that the unit constraint in the prompt takes effect.
- Adjust the context window parameter, initiate a long-context dialogue, check whether the model can correctly retain the previously specified variety and parameter information, and confirm that the context configuration is reasonable.
- Submit the form node configuration, check whether the dialogue interface normally renders form elements, and confirm that the rendering rule configuration is correct.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.